LLM Services API

OpenAI-compatible language model endpoints.

Base URL: https://api.bluenexus.ai/api/v1

POST /chat/completions

Create a chat completion. Fully OpenAI-compatible.

Auth: Bearer token with llm-all scope Rate limit: 30 requests/minute Credit guard: Requires positive balance

Request:

{
  "model": "bluenexus/glm-4.7-flash-tee",
  "messages": [
    {"role": "system", "content": "You are helpful."},
    {"role": "user", "content": "Hello!"}
  ],
  "temperature": 0.7,
  "max_tokens": 500,
  "stream": false,
  "top_p": 1,
  "stop": null,
  "tools": [],
  "tool_choice": "auto",
  "response_format": {"type": "text"},
  "seed": null
}

Response (200):

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1713000000,
  "model": "bluenexus/glm-4.7-flash-tee",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 8,
    "total_tokens": 23
  }
}

Response Headers:

• X-Credits-Consumed — Credits used
• X-Credits-Remaining — Remaining balance

Streaming

Set "stream": true for SSE streaming:

data: {"id":"chatcmpl-abc","object":"chat.completion.chunk","choices":[{"delta":{"content":"Hello"}}]}

data: {"id":"chatcmpl-abc","object":"chat.completion.chunk","choices":[{"delta":{"content":"!"}}]}

data: [DONE]

---

GET /models

List available LLM models.

Auth: Bearer token with llm-all scope

Response (200): Array of model objects with IDs and capabilities.

---

Compatibility

Works with any OpenAI-compatible client:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_BLUENEXUS_TOKEN",
    base_url="https://api.bluenexus.ai/api/v1"
)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_BLUENEXUS_TOKEN",
  baseURL: "https://api.bluenexus.ai/api/v1",
});